OLED TVs, as expensive as they can be, are a favorite among display aficionados. Both Sony and LG announced new OLED TVs earlier this year at CES and now there's actually a decent sale on one of them. The Sony 55-inch A8H 4K OLED TV is $400 off right now at a bunch of retailers, which brings its price down to $1,499. It goes without saying that OLED TVs are worth the money if you care about color quality and getting the blackest blacks possible. It's also an Android TV, so it has built-in Google Cast and support for voice assistants including the Google Assistant and Amazon's Alexa.

If you want to create a world-class recommendation system, follow this recipe from a global team of experts: Blend a big helping of GPU-accelerated AI with a dash of old-fashioned cleverness. The proof was in the pudding for a team from NVIDIA that won this year's ACM RecSys Challenge. The competition is a highlight of an annual gathering of more than 500 experts who present the latest research in recommendation systems, the engines that deliver personalized suggestions for everything from restaurants to real estate. At the Sept. 22-26 online event, the team will describe its dish, already available as open source code. They're also sharing lessons learned with colleagues who build NVIDIA products like RAPIDS and Merlin, so customers can enjoy the fruits of their labor.

Multi-objective gradient methods are becoming the standard for solving multi-objective problems. Among others, they show promising results in developing multi-objective recommender systems with both correlated and uncorrelated objectives. Classic multi-gradient descent usually relies on the combination of the gradients, not including the computation of first and second moments of the gradients. This leads to a brittle behavior and misses important areas in the solution space. In this work, we create a multi-objective Adamize method that leverage the benefits of the Adam optimizer in single-objective problems. This corrects and stabilizes the gradients of every objective before calculating a common gradient descent vector that optimizes all the objectives simultaneously. We evaluate the benefits of Multi-objective Adamize on two multi-objective recommender systems and for three different objective combinations, both correlated or uncorrelated. We report significant improvements, measured with three different Pareto front metrics: hypervolume, coverage, and spacing. Finally, we show that the Adamized Pareto front strictly dominates the previous one on multiple objective pairs.

In the WWW (World Wide Web), dynamic development and spread of data has resulted a tremendous amount of information available on the Internet, yet user is unable to find relevant information in a short span of time. Consequently, a system called recommendation system developed to help users find their infromation with ease through their browsing activities. In other words, recommender systems are tools for interacting with large amount of information that provide personalized view for prioritizing items likely to be of keen for users. They have developed over the years in artificial intelligence techniques that include machine learning and data mining amongst many to mention. Furthermore, the recommendation systems have personalized on an e-commerce, on-line applications such as Amazon.com, Netflix, and Booking.com. As a result, this has inspired many researchers to extend the reach of recommendation systems into new sets of challenges and problem areas that are yet to be truly solved, primarily a problem with the case of making a recommendation to a new user that is called cold-state (i.e. cold-start) user problem where the new user might likely not yield much of information searched. Therfore, the purpose of this paper is to tackle the said cold-start problem with a few effecient methods and challenges, as well as identify and overview the current state of recommendation system as a whole

MEDITECH and Nuance Communications Inc. (Nuance), today announced a collaboration to re-imagine the way physicians interact with their Expanse EHR by introducing intuitive voice-driven navigation. Built upon the leading Nuance Dragon Medical solution already used by more than 550,000 physicians, the companies have partnered to launch the MEDITECH Expanse Virtual Assistant. Nuance's deeply embedded virtual assistant technology and sophisticated conversational AI dialogue and skills will enable physicians to navigate their EHR hands-free and transform the way they practice and provide care. By simplifying routine tasks, physicians can save steps and time, freeing them up to focus on direct patient care. Expanse Virtual Assistant responds to simple verbal commands by retrieving the information you're looking for -- without you having to type, point, click, or even touch your device. Clinicians can experience new levels of efficiency and usability while keeping their focus squarely on patients, not their computer systems.

The era of cutting edge technology demands tech giants and trendsetters to introduce innovative features in mobile applications. It is possible only when they integrate mobile app features with trending and immersive technologies so that the user can enjoy an excellent personalized experience. And one such technology is Artificial Intelligence. Over the last few decades, we have seen many technologies that have immensely contributed to the leading industry verticals. Today, the generation demands access for information on-the-go, and so the mobile apps have been developed to meet and simplify human needs.

Welcome to Complete Ultimate course guide on Data Science and Machine learning with Python. How amazon gives you product recommendation, How Netflix and YouTube decides which movie or video you should watch next, Google translate translate one language to another, How Google knows what is there in your photo, How Android speech Recognition or Apple siri understand your speech signal with such high accuracy. How Android speech Recognition or Apple siri understand your speech signal with such high accuracy. If you would like algorithm or technology running behind that, This is first course to get started in this direction. This course has more than 100 - 5 star rating. "This is a truly great course!

Beginning today, AT&T customers can link their phone numbers to Alexa devices. Once they're connected, customers will be able to make and answer calls through Alexa as they would on their phone. As The Verge notes, Echo devices have been able to call mobile numbers and landlines for free since 2017, but this integration with AT&T goes a little deeper, essentially turning your Alexa device into an extension of your phone. Amazon already rolled this feature out abroad. In the UK and Germany, Vodafone OneNumber customers can link their mobile accounts, and EE customers in the UK can do the same.

Alexa has long been able to call friends and loved ones on their home and cell phones, but now you can ask Alexa to perform a new trick: placing and receiving calls using your AT&T mobile number. The feature, which allows AT&T subscribers to link their mobile numbers with Alexa, comes courtesy of a just-announced partnership between Amazon and AT&T, according to The Verge. Once you have your AT&T account linked, you can ask Alexa to call a contact with your AT&T number, answer incoming calls, or even dial a number by saying the digits. Alexa's "carrier calling" feature is new in the U.S. but not in other territories, with The Verge noting that users in the UK and Germany can link (respectively) their Vodafone OneNumber and EE mobile numbers with Alexa. You can ask Alexa to make and receive calls with your AT&T number once you link your AT&T account in the Alexa app.

In response to the Covid-19 pandemic, businesses of all shapes and sizes have had to quickly adapt to remote work. Many experts predict that this year's rapid transition to remote work constitutes a point of no return. In many ways, the growth of remote work parallels the growth of artificial intelligence (AI). It wasn't so long ago that AI was confined to the realm of science fiction. Now, like remote work, AI promises to transform nearly every industry and every company.